OpenSciInfo

search for #opensciinfo hashtag used in twitter "room"

A site about the engineer's from Moldova, Leonid Popusoi's, inventions and discoveries in astronomy and physics. \nIt contains descriptions of his inventions, books and videos.

The genome-wide association study (GWAS) publications listed here include only those attempting to assay at least 100,000 single nucleotide polymorphisms (SNPs) in the initial stage. Publications are organized from most to least recent date of publication, indexing from online publication if available. Studies focusing only on candidate genes are excluded from this catalog. Studies are identified through weekly PubMed literature searches, daily NIH-distributed compilations of news and media reports, and occasional comparisons with an existing database of GWAS literature (HuGE Navigator). SNP-trait associations listed here are limited to those with p-values < 1.0 x 10-5. Note that we are now including all identified SNP-trait associations meeting this p-value threshhold. Multipliers of powers of 10 in p-values are rounded to the nearest single digit; odds ratios and allele frequencies are rounded to two decimals. Standard errors are converted to 95 percent confidence intervals where applicable. Allele frequencies, p-values, and odds ratios derived from the largest sample size, typically a combined analysis (initial plus replication studies), are recorded below if reported; otherwise statistics from the initial study sample are recorded. Odds ratios < 1 in the original paper are converted to OR > 1 for the alternate allele. Where results from multiple genetic models are available, we prioritized effect sizes (OR's or beta-coefficients) as follows: 1) genotypic model, per-allele estimate; 2) genotypic model, heterozygote estimate, 3) allelic model, allelic estimate. Gene regions corresponding to SNPs were identified from the UCSC Genome Browser. Gene names are those reported by the authors in the original paper. Only one SNP within a gene or region of high linkage disequilibrium is recorded unless there was evidence of independent association.

Sixty years of study have made Escherichia coli K-12 the most deeply understood organism at the molecular level. Much of what we know about cellular processes can be traced to fundamental discoveries in E. coli. In spite of its great importance as a model organism, information about E. coli is distributed among many online resources. EcoliHub uses web services that are being developed to make seamless bidirectional connections between E. coli resources, thereby enabling the full use of existing knowledge and supporting cutting-edge research into the molecular basis of life. Read More EcoliHub is being developed to serve the user community. Users can help teach us what is desirable in future releases by taking our User Survey.

# WARNING: USE AT YOUR OWN RISK! # It is recommended to use this script as a guide # # This is tested on a Ubuntu 8.10 Live Session # get it at http://www.ubuntu.com/getubuntu/download # # To run this script, paste the following line in a terminal: # wget http://einrad.eu/stuff/wikipedia-iphone; sh wikipedia-iphone # (you need an internet connection) # # if everything works, download the latest dump in your language # and rerun the last lines starting at the process command # hint: change the lang-variable # # Last change: 20 Nov 2008 # contact: felix - beerleader - net

Generates an HTML page including a Processing.js visualization based on entered or remote source code.

BMC Biology - the flagship biology journal of the BMC series - publishes research and methodology articles of special importance and broad interest in any area of biology and biomedical sciences. BMC Biology (ISSN 1741-7007) is covered by PubMed, MEDLINE, BIOSIS, CAS, Scopus, EMBASE, Zoological Record, Thomson Reuters (ISI) and Google Scholar.

Launched in October 2008, "On-call" Scientists connects scientists interested in volunteering their skills and knowledge with human rights organizations that are in need of scientific expertise.

AAAS FriendFeed room

The AAAS Science and Human Rights Coalition is a network of scientific organizations that recognizes a role for science and scientists in efforts to realize human rights. Composed of scientific associations, societies and academies, as well as individual scientists, the Coalition aims to facilitate communication and partnerships on human rights within and across scientific communities, and between these and human rights communities. The Coalition's programs are being carried out by the following five working groups: 1. Welfare of Scientists 2. Science Ethics and Human Rights 3. Service to the Scientific Community 4. Service to the Human Rights Community 5. Education and Information Resources The Coalition is also pursuing a joint initiative to realize the human right to "the benefits of scientific progress" (Article 15, International Covenant on Economic, Social and Cultural Rights).

This blog exposes and debunks the lies of young earth creationism and their false beliefs on dinosaurs.

PubMed is a service of the U.S. National Library of Medicine that includes over 18 million citations from MEDLINE and other life science journals for biomedical articles back to 1948. PubMed includes links to full text articles and other related resources.

SWAN (Semantic Web Applications in Neuromedicine) is a Web-based collaborative program that aims to organize and annotate scientific knowledge about Alzheimer disease (AD) and other neurodegenerative disorders. Its goal is to facilitate the formation, development and testing of hypotheses about the disease. The ultimate goal of this project is to create tools and resources to manage the evolving universe of data and information about AD in such a way that researchers can easily comprehend their larger context ("what hypothesis does this support or contradict?"), compare and contrast hypotheses ("where do these two hypotheses agree and disagree?"), identify unanswered questions and synthesize concepts and data into ever more comprehensive and useful hypotheses and treatment targets for this disease. The SWAN project is designed to allow the community of AD researchers to author, curate and connect a diversity of data and ideas about AD via secure personal and public SWAN workspaces, using the emerging Semantic Web paradigm for deep interconnection of data, information and knowledge. We are initially focusing on developing a fully public Web resource deployed as part of the Alzheimer Research Forum web site (www.alzforum.org). After the public resource has been launched, we will also develop secure personal workspaces (MySWAN) and semi-private lab workspaces (LabSWAN). An essential component of this project is development of an initial, core knowledge base within SWAN, which will provide immediate value to researchers at the time of deployment. This is a critically important part of our strategy to ensure that the SWAN system gains wide adoption and active participation by the AD research community. As part of our development strategy, we are also recruiting a "beta test" community of AD researchers to enter their own hypotheses, add commentaries and citations, and provide feedback on the technology and content. SWAN is being developed by a collaborative team from

The myGrid team produce and use a suite of tools designed to "help e-Scientists get on with science and get on with scientists". The tools support the creation of e-laboratories and have been used in domains as diverse as biology, social science, music, astronomy, text mining and chemistry. The tools have been adopted by a large number of projects and institutions. The team has developed tools and infrastructure to allow: * the design, editing and execution of workflows in Taverna * the sharing of workflows and related data by myExperiment * the cataloguing and annotation of services in BioCatalogue and Feta * the creation of user-friendly rich clients such as UTOPIA

myExperiment makes it really easy to find, use and share scientific workflows and other files, and to build communities.

The National Center for Biomedical Ontology is a consortium of leading biologists, clinicians, informaticians, and ontologists who develop innovative technology and methods allowing scientists to create, disseminate, and manage biomedical information and knowledge in machine-processable form. Our visionis that all biomedical knowledge and data are disseminated on the Internet using principled ontologies, such that they are semantically interoperable and useful for improving biomedical science and clinical care. Our resources include the Open Biomedical Ontologies (OBO) library, the Open Biomedical Data (OBD) repositories, and tools for accessing and using this information in research. The Center collaborates with biomedical researchers conducting Driving Biological Projects to enable outside research and stimulate technology development in the Center. The Center undertakes outreach and educational activities (Biomedical Informatics Program) to train future researchers to use biomedical ontologies and related tools with the goal of enhancing scientific discovery.